Triple
T29441798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 95 in Florida |
E746733
|
entity |
| Predicate | isNumberedAlong |
P154995
|
FINISHED |
| Object | State Road 9 (unsigned designation) |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: State Road 9 (unsigned designation) | Statement: [Interstate 95 in Florida, isNumberedAlong, State Road 9 (unsigned designation)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNumberedAlong Context triple: [Interstate 95 in Florida, isNumberedAlong, State Road 9 (unsigned designation)]
-
A.
isNumbered
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
B.
isNumberedParallelTo
chosen
Indicates that one linear entity is parallel to another and has an assigned identifying number distinguishing it from other parallel entities.
-
C.
isNumberedBy
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
-
D.
isNumberedZone
Indicates that an area or zone is assigned a specific numerical identifier within a defined system or scheme.
-
E.
isNumberedWithinState
Indicates that an entity has an assigned number that is unique or valid only within the context or boundaries of a particular state.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b1d0fd88190973ed80b5539f597 |
completed | May 2, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:23 p.m.